{"id":"W4242669391","doi":"10.1038/82256","title":"Avoiding Frankendrugs","year":2000,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computational biology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001742785,0.0001515677,0.000123812,0.00002614827,0.0002501884,0.00001065001,0.0003115375,0.0009921062,0.02096392],"category_scores_gemma":[0.00006521265,0.0001151116,0.00006084612,0.0003251196,0.0003293015,0.0001447919,0.000116075,0.001437714,0.0028299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269914,"about_ca_system_score_gemma":0.000002483396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005743774,"about_ca_topic_score_gemma":0.00002422936,"domain_scores_codex":[0.9989381,0.00004808384,0.0001201142,0.0003666412,0.0001653708,0.000361647],"domain_scores_gemma":[0.9995869,0.000027581,0.00002503732,0.0002897338,0.000001217572,0.0000695511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009251336,0.000392573,0.0127004,0.00001380945,0.00003630631,0.0001359353,0.0008443818,0.0008405972,0.07625976,0.002688411,0.0396391,0.8663562],"study_design_scores_gemma":[0.0003031031,0.0001142569,0.05766096,0.000005742726,0.00001343882,0.0001651978,0.0005412611,0.0000710598,0.04093176,0.004125036,0.8957093,0.0003588508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590203,0.0002688462,0.00004679187,0.004330799,0.00007458836,0.0001513996,0.000003481004,0.000245483,0.03585833],"genre_scores_gemma":[0.9951984,0.000125769,0.0005843006,0.0009149024,0.0000365944,0.000007045912,0.000005515241,0.000009951928,0.003117553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8659974,"threshold_uncertainty_score":0.9979465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001543029367596954,"score_gpt":0.1934432035879888,"score_spread":0.1919001742203919,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}